AI Engineer with less than a year in Data Science & Machine Learning
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Computer Science graduate specializing in Data Science (NED University, 2026) with 3 internships including a Data Science role at 10Pearls. Experienced in Python, SQL, Power BI, machine learning, computer vision, and LLM-powered applications. Delivered end-to-end projects spanning predictive modeling, Al-driven tools, and interactive dashboards with measurable results. Immediately available for Data Analyst, Business Analyst, or Junior AI/ML roles on-site Karachi or remote.
NED University of Engineering & Technology
B.S. Computer Science · Data Science Specialization
August 1, 2022 – June 30, 2026
10Pearls
Data Science Intern
December 1, 2025 – March 1, 2026
Karachi, Sindh, Pakistan
Karachi Development Authority (KDA)
Information Technology Intern
March 1, 2025 – April 1, 2025
Karachi, Sindh, Pakistan
CodSoft
Python Developer Intern
August 1, 2023 – September 1, 2023
India
Kairix Al - AI Career Coach
June 1, 2026 – Present
Integrated Vision Al, Speech Al, and a RAG pipeline (LangChain + ChromaDB) with Groq's llama-3.3-70b into a full Al career coaching system.
Customer Churn Predictor
June 1, 2026 – Present
Trained Random Forest classifier achieving 95.6% accuracy; added SHAP explainability and a stakeholder-facing Streamlit dashboard.
Used Car Price Predictor
June 1, 2026 – Present
Built XGBoost regression model achieving 0.96 R2 for vehicle resale prediction; deployed as a live interactive Streamlit web app.
Sales Data Analysis Dashboard
June 1, 2026 – Present
Wrote complex SQL queries (CTEs, window functions) and built a multi-page Power BI dashboard revealing revenue trends and top products.
Edge AI – CNIC Field Extraction (Final Year Project)
June 1, 2026 – Present
Trained YOLOv5 Nano on a 1,200+ image custom dataset to detect 8 CNIC fields; achieved 97.3% Precision, 93.3% Recall, 96% F1, 94.3% mAP@0.5. Optimized and exported model to ONNX for edge deployment via ONNX Runtime Mobile on Android — fully offline, no cloud dependency. Integrated HMAC-SHA256 hashing for privacy-preserving visitor identity storage; built end-to-end Android visitor management app.
GTD-Insight - Global Terrorism Dashboard
June 1, 2026 – Present
Built an interactive dashboard analyzing 47 years of terrorism data from a 163 MB dataset with dynamic filtering and trend exploration.
Introduction to Power BI
Unknown
June 1, 2026 – Present
Data Visualization in Power BI
Unknown
June 1, 2026 – Present
Intermediate SQL
Unknown
June 1, 2026 – Present
Introduction to Python
Unknown
June 1, 2026 – Present
Joining Data in SQL
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project portfolio shows a strong inclination towards practical application of AI/ML, ranging from academic final year projects to personal initiatives. This diversity, coupled with internships, suggests a driven individual eager to learn and contribute. The focus on end-to-end solutions (model training, optimization, deployment, dashboarding) indicates a holistic approach to problem-solving, which is valuable in a dynamic AI engineering environment. The candidate's target role as an 'AI Engineer' aligns well with their demonstrated skills and project types. The breadth of skills, including computer vision, NLP, LLMs, and traditional ML, indicates adaptability and a broad interest in the AI domain.
Soft Skills & Operational Fit
The candidate demonstrates a proactive approach to learning and applying new technologies through personal projects. Their internship experience, particularly at 10Pearls, suggests an ability to work in cross-functional teams and deliver data-driven insights. The variety of projects indicates problem-solving skills and an interest in end-to-end solution development. However, without specific psychometric or English test scores, a detailed assessment of logical reasoning, work attitude, stress handling, team collaboration, and communication clarity cannot be fully provided.